Lifeng Nai
Software Engineer Tech Lead Manager at Google
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolLifeng Nai is a staff software engineer and tech lead manager based in the San Francisco Bay Area with 12 years of experience building ML hardware-software systems. At Google he leads TPU architecture exploration, HW–SW co-design and platform-aware AutoML optimizations that span chip definition through compiler and runtime enabling for large models like Gemini, Bard and PaLM. His background in computer architecture (PhD work at Georgia Tech) and research on processing-in-memory and large-scale graph systems gives him a rare combination of deep hardware insight and production ML systems engineering. He is known for translating architectural trade-offs into compiler and model-level optimizations (quantization, sparsity, NAS) that materially improve platform performance at scale.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering (Computer Architecture), Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering (Computer Architecture) at Georgia Institute of TechnologyMaster of Science (M.S.), Electronics Engineering, Master of Science (M.S.), Electronics Engineering at Shanghai Jiao Tong University
Chinese, English
Github Skills (27)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
simulator9
benchmark9
simulation9
benchmarking9
graph9
heterogeneous8
processor8
Programming languages (1)
Github contributions (5)
graphbig/graphBIG
Jan 2015 - Jun 2017
A Comprehensive Benchmark Suite for Graph Computing
Contributions:1 release, 68 commits, 6 PRs in 2 years 4 months
graph-computingbenchmarkingbenchmark-suitebenchmarkgraph
graphbig/GraphBIG-Doc
Oct 2015 - Jun 2017
Contributions:18 commits, 16 pushes, 1 branch in 1 year 8 months
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